Simon van Vliet

The paper shows that opposing range-dependent interactions between microbial exoproducts create complex spatial patterns of antibiotic tolerance in biofilms.

The paper investigates how auxotrophic mutants in E. coli populations grow in spatially structured communities, finding that growth is constrained by amino acid leakage and clustering.

This study identifies coenzyme A depletion as a cause of antibiotic tolerance in Pseudomonas aeruginosa using proteomic, metabolomic, and machine learning analyses.

The paper examines phenotypic heterogeneity in Pseudomonas syringae during plant colonization, showing stochastic and spatially structured expression of virulence traits and their role in bacterial cooperation and dissemination.

This study shows that amino acid uptake and leakage rates determine microbial community structure and composition in synthetic E. coli consortia.

This study shows that the RES domain TA system in P. aeruginosa promotes persister formation by depleting NAD and NADP under nutrient stress, enhancing bacterial survival during antibiotic treatment.

This study identifies mutations in the amino acid transporter GltT that enable Staphylococcus aureus to survive in the presence of Pseudomonas aeruginosa through altered glutamate metabolism.

The paper develops a mathematical framework to predict community-level properties from local cell-cell interactions in two-cell-type systems, showing how molecular parameters influence community dynamics.

The paper measures spatial interaction networks in microbial communities and finds that short-range interactions significantly impact system function and metabolic processes.

This study shows that metabolic activity variation in structured microbial populations affects single-cell responses to nutrient switches, with cross-feeding cells having higher growth resumption probability.